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Este resumen es generado por máquina.

Para mejorar la escalabilidad de las políticas, generar evidencia de manera óptima preguntando qué información se necesita y cuándo. Este enfoque, basado en la escala de la ciencia, ayuda a reducir el

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Área de la Ciencia:

  • Ciencias sociales
  • Economía del comportamiento
  • Aplicación de las políticas

Sus antecedentes:

  • La ampliación de las intervenciones sociales suele dar lugar a una "caída de tensión", en la que disminuyen los perfiles de coste-beneficio.
  • El escalamiento efectivo de las políticas es crucial para la salud, la seguridad y las oportunidades futuras de la comunidad.

Objetivo del estudio:

  • Proponer una estrategia óptima para generar pruebas basadas en políticas para mitigar las "caídas de tensión" de escala.
  • Reestructurar el modelo de investigación de las ciencias sociales para alinearlo con las demandas de la ciencia a escala.

Principales métodos:

  • Abogando por un cambio en el modelo de investigación tradicional.
  • Aumentar los ensayos de eficacia con pruebas de escala integradas durante la fase de descubrimiento.

Principales resultados:

  • La generación óptima de pruebas requiere definir qué información se necesita y su secuencia.
  • La integración temprana de las pruebas de escala obliga a un reconocimiento de los requisitos de confianza de escala.

Conclusiones:

  • Cambiar el modelo de investigación tradicional puede reducir las "caídas de tensión" de la escala de políticas.
  • Dar prioridad desde el principio a la generación de pruebas relevantes para la escala es clave para la implementación exitosa de la política.